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[null,"1.","Record Nr.",null,"UNINA990002900370403321"]
[null,null,"Autore",null,"Elliott, Robert J."]
[null,null,"Titolo",null,"Mathematics of financial markets / Robert J. Elliott and P. Ekkehard Kopp"]
[null,null,"Pubbl/distr/stampa",null,"New York : Springer, c1999"]
[null,null,"ISBN",null,"0-387-98553-0"]
[null,null,"Descrizione fisica",null,"ix, 292 p. ; 24 cm"]
[null,null,"Collana",null,"Springer finance"]
[null,null,"Disciplina",null,"332.601"]
[null,null,"Locazione",null,"MAS"]
[null,null,"Collocazione",null,"MXX-A-193"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910830908403321"]
[null,null,"Autore",null,"Searle S. R (Shayle R.), <1928->"]
[null,null,"Titolo",null,"Linear models [[electronic resource] /] / S. R. Searle"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Wiley, c1997"]
[null,null,"ISBN",null,"1-283-59289-4"]
[{"$nulls":4},"9786613905345"]
[{"$nulls":4},"1-118-49178-5"]
[{"$nulls":4},"1-118-49176-9"]
[{"$nulls":4},"1-118-49177-7"]
[null,null,"Descrizione fisica",null,"1 online resource (560 p.)"]
[null,null,"Collana",null,"Wiley classics library"]
[null,null,"Disciplina",null,"519.5"]
[{"$nulls":4},"519.538"]
[null,null,"Soggetti",null,"Linear models (Statistics)"]
[{"$nulls":4},"Statistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Linear Models; Contents; 1. Generalized Inverse Matrices; 1. Introduction; a. Definition and existence; b. An algorithm; 2. Solving linear equations; a. Consistent equations; b. Obtaining solutions; c. Properties of solutions; 3. The Penrose inverse; 4. Other definitions; 5. Symmetric matrices; a. Properties of a generalized inverse; b. Two methods of derivation; 6. Arbitrariness in a generalized inverse; 7. Other results; 8. Exercises; 2. Distributions and Quadratic Forms; 1. Introduction; 2. Symmetric matrices; 3. Positive definiteness; 4. Distributions; a. Multivariate density functions"]
[{"$nulls":4},"b. Momentsc. Linear transformations; d. Moment generating functions; e. Univariate normal; f. Multivariate normal; (i) Density function; (ii) Aitken's integral; (iii) Moment generating function; (iv) Marginal distributions; (v) Conditional distributions; (vi) Independence; g. Central χ2, F and t; h. Non-central χ2; i. Non-central F; j . Other non-central distributions; 5. Distribution of quadratic forms; a. Cumulants; b. Distributions; c. Independence; 6. Bilinear forms; 7. The singular normal distribution; 8. Exercises; 3. Regression, or the Full Rank Model; 1. Introduction; a. The model"]
[{"$nulls":4},"b. Observationsc. Estimation; d. Example; e. The general case of k x-vartables; f. Example (continued); g. Intercept and no-intercept models; h. Example (continued); 2. Deviations from means; 3. Four methods of "]
[{"$nulls":4},"estimation; a. Ordinary least squares; b. Generalized least squares; c. Maximum likelihood; d. The best linear unbiased estimator (b.l.u.e.); 4. Consequences of estimation; a. Unbiasedness; b. Variances; c. Estimating E(y); d. Residual error sum of squares; e. Estimating the residual error variance; f. Partitioning the total sum of squares; g. Multiple correlation"]
[{"$nulls":4},"h. Example (continued)5. Distributional properties; a. y is normal; b. b is normal; c. b and σ2 are independent; d. SSE/σ2 has a χ2-distribution; e. Non-central χ2's; f. F-distributions; g. Analyses of variance; h. Pure error; i. Tests of hypotheses; j . Example (continued); k. Confidence intervals; l. Example (continued); 6. The general linear hypothesis; a. Testing linear hypotheses; b. Estimation under the null hypothesis; c. Four common hypotheses; (i) H: b = 0; (ii) H: b = b0; (iii) H: λ'b = m; (iv)  H: bq = 0; d. Reduced models; (i) K'b = m; (ii) K'b = 0; (iii) bq = 0; 7. Related topics"]
[{"$nulls":4},"a. The likelihood ratio testb. Type I and II errors; c. The power of a test; d. Examining residuals; 8. Summary of regression calculations; 9. Exercises; 4. Introducing Linear Models: Regression on Dummy Variables; 1. Regression on allocated codes; a. Allocated codes; b. Difficulties and criticism; c. Grouped variables; d. Unbalanced data; 2. Regression on dummy (0, 1) variables; a. Factors and levels; b. The regression; 3. Describing linear models; a. A 1-way classification; b. A 2-way classification; c. A 3-way classification; d. Main effects and interactions; (i) Main effects"]
[{"$nulls":4},"(ii) Interactions"]
[null,null,null,"Sommario/riassunto","This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods."]